Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting Jalali, Seyed Mohammad Jafar, Ahmadian, S, Kavousi-Fard, A, Khosravi, Abbas and Nahavandi, Saeid 2022, Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 1, pp. 54-65, doi: 10.1109/TSMC.2021.3093519. Attached Files Name Description MIMEType Size Downloads Title Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting Author(s) Jalali, Seyed Mohammad Jafar orcid.org/0000-0003-3565-2001 Ahmadian, S Kavousi-Fard, A Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name IEEE Transactions on Systems, Man, and Cybernetics: Systems Volume number 52 Issue number 1 Start page 54 End page 65 Total pages 12 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2022-01 ISSN 2168-2216 2168-2232 Keyword(s) Automation & Control Systems Computer architecture Computer Science Computer Science, Cybernetics Convolutional long short-term memory Deep learning deep neuroevolution ENERGY evolutionary computation Feature extraction Forecasting MODEL NEURAL-NETWORKS PREDICTION Prediction algorithms Predictive models Science & Technology Solar energy solar energy forecasting SYSTEM Technology Language eng DOI 10.1109/TSMC.2021.3093519 HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30154045 Document type: Journal Article Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 02 Aug 2021, 08:42:54 EST Tue, 03 Aug 2021, 05:00:38 EST Tue, 03 Aug 2021, 07:59:39 EST Sat, 22 Jan 2022, 01:30:12 EST Wed, 02 Feb 2022, 05:03:53 EST Wed, 09 Mar 2022, 11:43:13 EST Wed, 09 Mar 2022, 13:15:55 EST Wed, 09 Mar 2022, 16:15:23 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 36 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 02 Aug 2021, 08:42:54 EST